What You’ll Learn
- What Customer Traits are and how they shape simulations
- How to use traits to create diverse, realistic test populations
- How traits connect to Digital Humans and Customer Personas
How Customer Traits Work
You use Customer Traits to encode tone, urgency, language, demographic signals, and scenario-specific behavior so Bluejay can simulate or analyze customers in a more structured way across runs. Traits are the building blocks of realistic customer behavior. They define how a simulated customer sounds, what they care about, and how they react during a conversation. Bluejay’s generation engine uses traits to produce diverse populations that reflect real-world customer demographics.Key Capabilities
- Behavioral encoding — define tone, urgency, patience, and communication style
- Language and demographic signals — specify language preferences, technical proficiency, and contextual background
- Scenario-aware generation — traits adapt based on the simulation scenario context
- Full Customization — create any trait with any data type: Numbers, Strings, Dates, and more.
Common Use Cases
- Create member IDs, birthdays, and other simulated PII data to enable testing of flows gated by verification
- Define a max budget that a customer has to spend for outbound lead qualification flows
- Define credit card numbers, CVC codes, and expiry dates for testing purchase flows
Next Steps
Create Customer Persona API
Define customer personas with traits via the API.
Digital Humans
Learn how traits feed into Digital Human behavior.